Comments (3)
liuyuan-pal
commented on July 22, 2024
Does this refer to the training set of NeuRay? As for the DTU training dataset, I adopt the processed dataset from PixelNeRF and run the colmap based on this processed version. I'm not sure what cause the difference. It may be caused by the normalization of scale and offset. Since COLMAP indeed will produce some incorrect depth in test time, it would be better to let the model receive these incorrect depth values in training.
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caiyongqi
commented on July 22, 2024
Does this refer to the training set of NeuRay? As for the DTU training dataset, I adopt the processed dataset from PixelNeRF and run the colmap based on this processed version. I'm not sure what cause the difference. It may be caused by the normalization of scale and offset. Since COLMAP indeed will produce some incorrect depth in test time, it would be better to let the model receive these incorrect depth values in training.
OK, Thanks! Could you update how to use colomap to get depth map (code or document) if you have time? I believe it will be useful.
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liuyuan-pal
commented on July 22, 2024
You may refer to the document of COLMAP. It already provides patch_match_stereo to estimate depth maps and you can read these depth maps from the provided python function like
Line 129 in 266af33
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Related Issues (20)
- Render with custom scenes HOT 1
- ImportError: cannot import name 'select_working_views_by_overlap' from 'utils.view_select' HOT 3
- colmap image_undistorter HOT 1
- Difference between IBRnetwithNeuray model and Neuray model HOT 3
- finetuning on custom dataset? HOT 1
- Code for training your dataset on baseline models?
- what's the usage of "get_diff_feats" function? HOT 1
- What's the difference of use_src_img and not use_src_img? HOT 2
- Is the model corresponding to the results in Table 1 initialized with cost volume or depth? HOT 1
- What's the difference between configs/gen/neuray_gen_cost_volume.yaml and configs/train/gen/neuray_gen_cost_volume_train.yaml? HOT 2
- Why are inconsistent parameters set in general model config and fine-tune model config? HOT 2
- Is the pose of data world-to-camera parameter, or camera-to-world parameter?
- How to get the accuracy presented in Tab. 1? HOT 2
- 环境问题 HOT 2
- 渲染自定义数据报错 HOT 2
- 渲染自定义数据集的问题
- 自定义数据集问题 HOT 1
- How to apply multi-gpus training? HOT 1
- how can i export the result to pointcloud HOT 1
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